Senior or Staff Computer Vision Engineer building production 3D reconstruction systems from real-world sensor data. Owns full lifecycle from research to deployment of CV/ML models for accurate property digital twins.

Build and deploy production-grade LLM applications and AI agents for enterprise customers, from architecture through production. The role requires at least three years of software engineering experience, strong Python or TypeScript skills, and hands-on experience with AI workflows and production systems.

Lead research on pCTR and conversion models for Instacart Ads. Tackle bias mitigation, calibration, multi-task learning, and generative retrieval systems. Requires 6+ years ML experience and advanced degree.

Convex is seeking a Software Engineer to build and architect their AI platform, focusing on creating seamless agentic development experiences. This role involves working across APIs, plugins, and AI framework integrations, identifying gaps, and prioritizing projects to enhance the platform.

Lead the Evaluation Infrastructure team building metrics, evaluation pipelines, and validation platforms for autonomous vehicle safety and iteration. Requires 4+ years experience in distributed systems and ML evaluation, plus strong Python/C++ skills and AI-native engineering practices.

Build and ship AI-powered capabilities that improve workflow creation, including code generation, intelligent node creation, and workflow optimization. The role requires 5+ years building web products, strong TypeScript and Node.js skills, and production experience with LLM APIs and AI systems.

Senior Software Engineer applying ML/AI techniques to fintech problems like fraud detection and user conversion. Requires 5+ years backend engineering (Java/JVM) and 2+ years deploying production ML models.

As a Machine Learning Researcher, you will design and evaluate datasets, tasks, and environments for advanced AI systems, focusing on RL and agentic systems. You will develop frameworks for data quality, benchmark model behavior, and build scalable evaluation tooling.

Staff Engineer leading foundational backend, distributed data, and ML infrastructure for Spotify’s multimodal content intelligence systems. The role requires extensive large-scale systems experience, strong Java, Python, or Scala skills, and experience delivering AI- and LLM-enabled products.

Build and optimize distributed LLM inference systems at scale using Ray, integrating with engines like vLLM to deliver high-throughput, low-latency batch and online inference solutions.

Research intern developing world-action foundation models for robotics and simulation, working on vision-physics integration, Gaussian splatting, and related areas for publication at top conferences.

Research intern supporting cutting-edge work in humanoid robotics, robotic simulation, RL training, and human data processing for next-generation physical AI systems. Requires current PhD or MSc studies in ML, computer vision/graphics, or robotics.

Research intern role focused on reinforcement learning for robotics, particularly dexterous manipulation. Requires current PhD/MSc studies in ML, CV, or robotics.

Build and scale the infrastructure, data pipelines, and MLOps workflows supporting deep-learning training and deployment for autonomous drones. The role requires hands-on data engineering, cloud ML platforms, containerization, databases, and end-to-end software lifecycle experience.

Build, train, optimize, and deploy computer vision and multimodal deep learning models for an autonomous flight system. The role requires hands-on deep learning experience, strong Python/PyTorch skills, and an advanced degree in computer science, electrical engineering, or a related field.

Builds and scales infrastructure for deep-learning and computer-vision systems, including optimized edge inference, MLOps pipelines, GPU kernels, and deployment SDKs. The role requires hands-on experience with ML infrastructure, inference optimization, computer vision, and end-to-end model lifecycle management.

Develops and deploys real-time deep learning and computer vision systems for autonomous drones, including detection, tracking, segmentation, optical flow, and scene understanding. The role requires hands-on neural network development, dataset curation, Python or C++, and optimization for embedded hardware.

Build and deploy production-grade agentic AI systems and automation workflows that drive efficiency across sales, marketing, finance, and other business functions. Partner with stakeholders to identify high-impact use cases and deliver reliable, observable LLM-powered solutions.

Build ML models and decision systems for search, ranking, candidate-job matching, and marketplace optimization at a fast-growing AI talent platform.

As an AI Engineer, you will own the full AI engineering lifecycle, from design to optimization, for Snowflake Database Engineering products. You will build agentic workflows, coding harnesses, and evaluation pipelines, working with a high-powered engineering team.

Lead technical strategy and development of Plaid’s financial foundation models as a Staff ML Engineer. Own full ML lifecycle from pretraining and data curation to production serving, evaluation, and cross-team integration while mentoring engineers and setting technical standards.

Drata is seeking a Senior AI Product Engineer to lead full-stack development of customer-facing AI features. This role involves translating LLM capabilities into intuitive product experiences, partnering with AI Engineers, and advocating for user experience in technical decisions.

Principal MLE focused on fine-tuning and optimizing large language models for production, building scalable AI pipelines, and shaping Airbnb's ML platform strategy. Requires 10+ years experience and a PhD.

Build and maintain infrastructure for large-scale RL training runs of frontier OpenAI models. Debug across training, inference, and distributed systems while supporting research integrations.

Build and ship production-grade AI agents and experiences that help creators personalize, automate, and grow. Requires strong product engineering skills, hands-on LLM/agent experience, and rigorous evaluation practices.

Build and own algorithmic systems that evaluate providers, make recommendations, and optimize healthcare outcomes for cost, quality, and access. Requires 2+ years shipping production algorithms and expertise in ML, optimization, and heuristics.

Lead design and production delivery of LLM-powered AI features including real-time coaching, call insights, and prospect enrichment. Requires 7+ years building and shipping ML systems with deep LLM experience.

Hands-on senior software engineer focused on maintaining and improving ML training infrastructure, debugging training systems, and unblocking researchers on the robotics team.

Build AI agents, memory systems, and governance layers for a platform that lets non-engineers create enterprise software. Requires backend, LLM, and security experience.

Lead customer AI programs on the Cortex AI team, owning end-to-end delivery of LLM and agentic solutions while mentoring 2-6 engineers and staying hands-on. Requires 5+ years of software engineering experience with proven productionization of LLMs, RAG, and evaluation frameworks.

Hands-on Applied AI Engineer on the Cortex AI team building and deploying production-grade AI agents and solutions for enterprise customers using Snowpark, Cortex, and native LLM capabilities.

Technical lead for ML team building personalization, ranking, and search systems at scale. Own architecture, model training, deployment, and serve as hands-on mentor driving production ML systems.

Open general application for computational biology, ML research, data science, software engineering, and program roles at DiffUSE, focused on protein dynamics, structural data infrastructure, and open science tooling.

Design, build, and deploy computer vision and deep learning models for production applications. Requires 5+ years of ML/CV experience, strong Python and framework proficiency, and deployment on cloud/edge platforms.

Member of Technical Staff building production speech and language models for voice AI agents in financial services. Own core modeling, evals, and deployment on a small team with high autonomy and real revenue impact.

Own and evolve AI systems for ClickUp's voice platform including real-time transcription, LLM post-processing, and voice-to-action pipelines.

Staff AI Engineer designing and shipping agentic AI workflows and internal productivity tools across sales, marketing, finance, and talent teams. Partner with business stakeholders to build production-grade multi-agent systems using LLMs and orchestration platforms.

Develop and optimize large neural network-based tabular models. Profile and rewrite performance-critical components in Rust and C++ to improve efficiency, latency, and throughput for enterprise AI systems.

Staff-level IC building and scaling the ML/AI platform infrastructure that enables training, deployment, and serving of models and agentic systems at massive scale. Focus on high-leverage architecture decisions and technical leadership across Attentive’s AI organization.

Senior Software Engineer on the ML Platform team building and operating data, tooling, serving, and inference layers for a PB-scale feature store and ML lifecycle at a high-growth AI marketing company.

Staff ML Engineer to own the model serving stack for real-time voice inference (STT, TTS, speech-to-speech) on H100/H200 GPUs. Drive latency/throughput optimization using TRT-LLM and SGLang for models like Whisper and Parakeet.

Senior Research Engineer leading development of real-time voice and speech models for conversational AI agents. Owns end-to-end research, training, deployment, and production integration of LLMs focused on speech understanding, turn-taking, and task completion. Requires 6+ years AI/ML experience with production LLM deployment.

Build and deploy scalable AI applications and intelligent agents for enterprise customers. Requires 5+ years of experience with Python, ML frameworks (PyTorch/TensorFlow/JAX), LLMs, and cloud platforms.

Build and deploy scalable AI applications, intelligent agents, and LLM-powered features for enterprise customers. The role requires 5+ years of production AI or machine-learning experience, strong Python and ML framework expertise, and knowledge of cloud and MLOps.

Founding AI Engineer building and shipping production-grade computer vision, LLM, and multimodal models for real-world construction documents at an early-stage startup.

Build and deploy learned components for contact-rich manipulation on physical robots, owning data collection, model training, evaluation, and edge deployment. The role requires strong Python and PyTorch skills, robotics middleware and simulation experience, and hands-on machine-learning deployment on real hardware.

Lead the design and scaling of ML infrastructure and GenAI platforms at Weave, enabling product teams to deliver AI-powered healthcare communication features. Requires deep expertise in MLOps, LLMs, distributed systems, and cross-team technical leadership.

Build cutting-edge speech and audio ML models, production inference systems, and resilient pipelines. Own full ML lifecycle from research to deployment on terabytes of audio data.

Build production-grade AI infrastructure and agentic systems for a revenue automation platform. Own end-to-end features from ideation through reliable deployment for business-critical finance workflows.

Own model quality and performance for Cerebras inference by building AI agent-driven eval suites, automating benchmarking, and creating customer-specific tooling. Requires strong AI agent experience and tooling intuition.